scipy-openblas32.yml

name: scipy-openblas32

on:
  workflow_dispatch:
    inputs:
      app_version:
        description: 'Build version'
        required: true
        default: 'main'

env:
  REPO_DIR: OpenBLAS
  OPENBLAS_COMMIT: "v0.3.28"

jobs:
  build:
    runs-on: ${{ matrix.os }}
    defaults:
      run:
        shell: bash
    strategy:
      fail-fast: false
      matrix:
        os: [ubuntu-latest]
        PLAT: [loongarch64]
        INTERFACE64: ['0', '1']
        MB_ML_VER: ['_2_38']
        MB_ML_LIBC: ['manylinux']
    env:
      NIGHTLY: ${{ github.event_name == 'schedule' }}
      MB_ML_LIBC: ${{ matrix.MB_ML_LIBC }}
      MB_ML_VER: ${{ matrix.MB_ML_VER }}
      INTERFACE64: ${{ matrix.INTERFACE64 }}
      BUILD_DIR: ${{ github.workspace }}
      PLAT: ${{ matrix.PLAT }}

    steps:
      - name: Checkout Code
        uses: actions/checkout@v4
        with:
          repository: loong64/openblas-libs
          ref: ${{ github.event.inputs.app_version }}
          submodules: recursive
          fetch-depth: 0

      - name: Setup QEMU
        run: docker run --rm --privileged ghcr.io/loong64/qemu-user-static --reset -p yes
      
      - name: Set up Python
        uses: actions/setup-python@v5
        with:
          python-version: 3.9

      - name: Install VirtualEnv
        run: |
          python3 -m pip install --upgrade pip
          pip install virtualenv

      - name: Build OpenBLAS
        run: |
          set -xeo pipefail
          source tools/build_steps.sh
          echo "------ BEFORE BUILD ---------"
          before_build
          if [[ "$NIGHTLY" = "true" ]]; then
            echo "------ CLEAN CODE --------"
            clean_code $REPO_DIR develop
            echo "------ BUILD LIB --------"
            build_lib "$PLAT" "$INTERFACE64" "1"
          else
            echo "------ CLEAN CODE --------"
            clean_code $REPO_DIR $OPENBLAS_COMMIT
            echo "------ BUILD LIB --------"
            build_lib "$PLAT" "$INTERFACE64" "0"
          fi

      - name: Build and test wheel
        run: |
          if [[ "$NIGHTLY" = "true" ]]; then
            # Set the pyproject.toml version: convert v0.3.24-30-g138ed79f to 0.3.34.30
            version=$(cd OpenBLAS && git describe --tags --abbrev=8 | sed -e "s/^v\(.*\)-g.*/\1/" | sed -e "s/-/./g")
            sed -e "s/^version = .*/version = \"${version}\"/" -i.bak pyproject.toml
          fi
          if [ "macos-13" == "${{ matrix.os }}" ]; then
            source tools/build_wheel.sh
          else
            libc=${MB_ML_LIBC:-manylinux}
            docker_image=ghcr.io/loong64/${libc}${MB_ML_VER}_${PLAT}
            docker run --rm -e INTERFACE64="${INTERFACE64}" \
              -e MB_ML_LIBC="${MB_ML_LIBC}" \
              -v $(pwd):/openblas $docker_image \
              /bin/bash -xe /openblas/tools/build_wheel.sh
            sudo chmod -R a+w dist
          fi

      - name: Upload wheels
        run: |
          pip install twine
          twine upload --repository-url https://gitlab.com/api/v4/projects/65746188/packages/pypi dist/*.whl
        env:
          TWINE_USERNAME: ${{ github.repository_owner }}
          TWINE_PASSWORD: ${{ secrets.GL_TOKEN }}